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2 changes: 1 addition & 1 deletion advanced_source/custom_classes.rst
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Expand Up @@ -228,4 +228,4 @@ As always, if you run into any problems or have questions, you can use our
`forum <https://discuss.pytorch.org/>`_ or `GitHub issues
<https://github.com/pytorch/pytorch/issues>`_ to get in touch. Also, our
`frequently asked questions (FAQ) page
<https://pytorch.org/cppdocs/notes/faq.html>`_ may have helpful information.
<https://docs.pytorch.org/cppdocs/faq.html>`_ may have helpful information.
2 changes: 1 addition & 1 deletion intermediate_source/rpc_tutorial.rst
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Expand Up @@ -59,7 +59,7 @@ Distributed Reinforcement Learning using RPC and RRef
-----------------------------------------------------

This section describes steps to build a toy distributed reinforcement learning
model using RPC to solve CartPole-v1 from `OpenAI Gym <https://www.gymlibrary.dev/environments/classic_control/cart_pole/>`__.
model using RPC to solve CartPole-v1 from `OpenAI Gym <https://gymnasium.farama.org/environments/classic_control/cart_pole/>`__.
The policy code is mostly borrowed from the existing single-thread
`example <https://github.com/pytorch/examples/blob/master/reinforcement_learning>`__
as shown below. We will skip details of the ``Policy`` design, and focus on RPC
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